Dimona, Israel

Tal Daniel


Average Co-Inventor Count = 7.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021

where 'Filed Patents' based on already Granted Patents

1 patent (USPTO):

Title: Tal Daniel - Innovator in Hierarchical Data Visualization

Introduction

Tal Daniel is an accomplished inventor based in Dimona, Israel. He has made significant contributions to the field of data visualization, particularly through his innovative approach to hierarchical objects linkage.

Latest Patents

Tal Daniel holds a patent for a groundbreaking invention titled "Hierarchical objects linkage data visualization." This patent describes a computer-implemented method, computerized apparatus, and computer program product designed for visualizing linkage data. The invention allows for a visualization of connections between a set of source objects and a set of target objects, organized according to a predetermined level of hierarchy. The attributes of the objects and their connections are represented as nodes and links in a bipartite graph. The spatial layout of these links is dynamically modified based on the relative positions of neighboring nodes, ensuring a position-preserving layout that enhances the clarity of the visualization.

Career Highlights

Tal Daniel is currently employed at International Business Machines Corporation (IBM), where he continues to develop innovative solutions in data visualization. His work has garnered attention for its practical applications in various industries, making complex data more accessible and understandable.

Collaborations

Throughout his career, Tal has collaborated with notable colleagues, including Peter Bak and Ofer Haim Biller. These partnerships have contributed to the advancement of his projects and the successful implementation of his inventions.

Conclusion

Tal Daniel is a prominent figure in the realm of data visualization, with a focus on hierarchical objects linkage. His innovative patent and contributions to IBM highlight his commitment to enhancing the way we understand and interact with data.

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